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Author Details

Tristan Naumann
Massachusetts Institute of Technology
2014
13
9
PMIDPaper TitleJournal TitlePublished Year
37123439Toward structuring real-world data: Deep learning for extracting oncology information from clinical text with patient-level supervision.Patterns (N Y)2023
37123444Fine-tuning large neural language models for biomedical natural language processing.Patterns (N Y)2023
29994486Natural Language Processing for EHR-Based Computational Phenotyping.IEEE/ACM Trans Comput Biol Bioinform2019
31651969Trends and Focus of Machine Learning Applications for Health Research.JAMA Netw Open2019
33323184Practical guidance on artificial intelligence for health-care data.Lancet Digit Health2019
29888035What's in a Note? Unpacking Predictive Value in Clinical Note Representations.AMIA Jt Summits Transl Sci Proc2018
27053770A "datathon" model to support cross-disciplinary collaboration.Sci Transl Med2016
27754482Predicting early psychiatric readmission with natural language processing of narrative discharge summaries.Transl Psychiatry2016
27558834Datathons and Software to Promote Reproducible Research.J Med Internet Res2016
25608565Metadata correction: making big data useful for health care: a summary of the inaugural mit critical data conference.JMIR Med Inform2015
27182460A Multivariate Timeseries Modeling Approach to Severity of Illness Assessment and Forecasting in ICU with Sparse, Heterogeneous Clinical Data.Proc AAAI Conf Artif Intell2015
25289175Unfolding Physiological State: Mortality Modelling in Intensive Care Units.KDD2014
25600172Making big data useful for health care: a summary of the inaugural mit critical data conference.JMIR Med Inform2014
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